Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by smixs · MCP Server · ★ 228
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is iva-agent safe to install? View the security audit →
EN · RU Site · Use cases · Features · Install · Memory · What's new · Docs Iva is a self-hosted Telegram AI assistant with layered memory that turns your messages into an Obsidian-compatible vault. You talk, it files: voice notes, photos, forwarded posts and decisions become plain-markdown cards it actually remembers. Everything runs on your own server, with your keys and your data. One command installs it: Why people run Iva "What di
| Stars | 228 |
| Forks | 51 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.4286060497968/100 |
| Open Issues | 9 |
| Last Updated | 2026-10-03 |
| Created | 2026-06-18 |
| Platforms | mcp, node |
| Est. Tokens | ~19k |
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iva-agent is AI assistant in Telegram that remembers everything and helps you run your life. Self-hosted in one command.. It is categorized as a MCP Server with 228 GitHub stars.
iva-agent is primarily written in TypeScript. It covers topics such as agent, ai-agent, ai-assistant.
You can find installation instructions and usage details in the iva-agent GitHub repository at github.com/smixs/iva-agent. The project has 228 stars and 51 forks, indicating an active community.
iva-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to iva-agent on Agent Skills Hub include cognithor, CoWork-OS, lobu. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: